Overview on Image Super Resolution Reconstruction
Image super resolution(SR)reconstruction technique is receiving increasing attention from the image processing community,and it has been widely used in many applications such as remote sensing image,medical image,video surveillance and high definition television.The essential of image SR reconstruction technique is how to produce a clearly high resolution(HR)image from the information of one or several low resolution(LR)images.Firstly,the fundamental idea of representative methods,the history and state of art of super resolution reconstruction are stated briefly according to the classification between the reconstruction based method and the learning based method.Secondly,advantages and defects of each methods are analyzed and summarized systematically,as well as the limitation exist in general ability.Finally,the further research directions of image super resolution reconstruction technique are proposed.
Super Resolution Image Reconstruction Regularization Comparative Analysis Image Processing
Lu Ziwei Wu Chengdong Chen Dongyue Qi Yuanchen Wei Chunping
School of Information Science and Engineering,Northeastern University,ShenYang,110819,China;School o School of Information Science and Engineering,Northeastern University,ShenYang,110819,China Shengli Oil Field Research of New District in West China,DongYing,257000,China
国际会议
长沙
英文
2009-2014
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）